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    "\n",
    "\n",
    "# 1. VS Code编程环境搭建\n",
    "## 1.1 VS Code 下C/C++编程\n",
    "### 1.1.1 安装\n",
    "1. 下载安装VS Code。  \n",
    "2. 解压缩mingw64， 把mingw64/bin加入到环境变量的系统变量的PATH中  \n",
    "3. 下载CMAKE，并安装  \n",
    "4. 运行cmd，cd Desktop ，mkdir project， cd project， mkdir helloworld， cd helloworld, code   \n",
    "5.  VS Code 安装插件 C/C++ 、 Cmake tools插件,CMake langage support for Visual Studio Code插件，Markdown All in One插件  \n",
    "6. 参考文献 https://code.visualstudio.com/docs/cpp/CMake-linux 进行工作   \n",
    "\n",
    "\n",
    "### 1.1.2 参考文献：  \n",
    "1. https://code.visualstudio.com/docs/cpp/config-mingw\n",
    "2. https://code.visualstudio.com/docs/cpp/CMake-linux\n",
    "\n",
    "### 1.1.3 作业\n",
    "目录组成  \n",
    "```\n",
    ":.\n",
    "└─SmartHealth\n",
    "    ├─DATA\n",
    "    │  └─mitbd\n",
    "    ├─DOC\n",
    "    │  └─pic\n",
    "    ├─ECG_CP\n",
    "    │  ├─.vscode\n",
    "    │  └─ecglib\n",
    "    └─ECG_PY\n",
    "        └─.vscode\n",
    "``` \n",
    "编写CMAKE文件，利用mingw编译。\n",
    "```\n",
    "// ECG_CP/main.cpp\n",
    "#include <iostream>\n",
    "#include \"ecglib.h\"\n",
    "\n",
    "int main(int, char**) {\n",
    "    std::cout << \"Hello, world!\\n\" ;\n",
    "    InitEcglib();\n",
    "}\n",
    "\n",
    "```\n",
    "\n",
    "```\n",
    "//ECG_CP/ecglib/ecglib.cpp\n",
    "#include \"ecglib.h\"\n",
    "#include <iostream>\n",
    "using namespace std;\n",
    "bool InitEcglib()\n",
    "{\n",
    "    cout << \"ECGLIB Init \" <<endl;\n",
    "    return false;\n",
    "}\n",
    "```\n",
    "输出结果\n",
    "Hello, world!   ECGLIB Init\n",
    "\n",
    "## 1.2 VS Code 下Python编程\n",
    "### 1.2.1 安装\n",
    "1. 安装Python\n",
    "2. 安装Python插件\n",
    "3. 修改pip路径\n",
    "``` \n",
    "pip install pip -U\n",
    "pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple\n",
    " ```  \n",
    "<!--  -->\n",
    "4. 安装Anaconda，修改Anaconda的环境变量\n",
    "5. 新建一个虚拟环境  conda create -n myevn --clone base\n",
    "6. 有可能需要初始化conda ：Conda init \n",
    "7. 把activate 路径放在环境变量Path中  \n",
    "C:\\ProgramData\\Anaconda3\\Scripts  \n",
    "C:\\ProgramData\\Anaconda3\\condabin\\\n",
    "8. numpy 等可能不能用，pip install --upgrade numpy进行升级  \n",
    "\n",
    "### 1.2.2 Notebook 的使用\n",
    "1. ctrl+shift+P 输入python notebook ，新建一个ipynb文件\n",
    "2. 可以在code和markdown之间进行切换。\n",
    "3. code的cell可以直接运行，画出来的图可以在工作区显示\n",
    "4. 在上面可以看到变量\n",
    "5. 可以导出为xml格式的文件，可以用于打印\n",
    "\n",
    "#### 1.2.3 作业\n",
    "在notebook下实现下面的代码，导出为xml文件\n",
    "\n"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "x=np.arange(-5,15,0.1)\n",
    "y=x*3\n",
    "plt.plot(x,y)\n",
    "plt.show()"
   ],
   "cell_type": "code",
   "metadata": {},
   "execution_count": 1,
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\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ]
  },
  {
   "source": [],
   "cell_type": "markdown",
   "metadata": {}
  }
 ]
}